Senior Frontend Developer- AI Native Data

About Us

CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.Our ValuesWe are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.Equal Opportunity StatementCLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at

What you'll do

• Build React and TypeScript features across data explorers, topic pages and natural-language search.
• Create interactive D3.js/SVG visualizations (choropleth maps, timelines, scatter plots, ranking tables) with zoom, brushing, tooltips and linked charts.
• Design AI-native interfaces: conversational query UIs, streaming LLM answers, and agent workflows that show plan steps, tool calls, progress and cited sources.
• Build generative UI, where model output selects and fills real chart and table components, with fallbacks, error states and user controls.
• Integrate with Flask and Mixer APIs, and keep chart and query state in the URL for shareable links.
• Ship responsive, accessible (WCAG) and fast UI, with tests, through GitHub pull requests.

Must-have skills

• 8–12 years of professional frontend development.
• Strong TypeScript and JavaScript (ES6+, async/await).
• Production React: hooks, state, component architecture.
• CSS/SCSS, Flexbox/Grid, responsive layouts, accessibility.
• Data visualization with D3.js and SVG.
• REST/JSON APIs and client state, including URL serialization.
• Built at least one LLM-powered UI (chat, AI search, copilot or agent) [must-have or nice-to-have: TBD].
• Jest, React Testing Library, Git/GitHub PRs; professional English [level: TBD].

Nice to have

• Agentic UX: human-in-the-loop approvals, multi-step progress, cited answers, handling model uncertainty.
• Gemini API, Google ADK, Model Context Protocol (MCP).
• Prompt design and evaluating AI features (quality, latency, feedback).
• Python/Flask, gRPC/Protobuf.
• Knowledge graphs: StatVars, DCIDs, provenance; Schema.org, MCF, JSON-LD, RDF.
• Webpack, npm/yarn, Bazel; Percy and hermetic E2E tests.
• Docker, GCP (GKE); open-source contributions.